Version: 3.0.0 (experimental)

References

Team

The European PILOT (EuroHPC-JU grant agreement No 101034126).
Barcelona Zettascale Laboratory (Ministerio de transformación digital y servicios públicos - funded by EU)
Quantum Enia (Ministerio de transformación digital y servicios públicos - funded by EU)

P. Sandås et al., "A test taxonomy and continuous integration ecosystem for dynamic resource management in HPC." Future Generation Computer Systems, pp. 108767, Jan. 2026. ISSN: 0167-739X. https://doi.org/10.1016/j.future.2026.108767
S. Iserte et al., "Resource optimization with MPI process malleability for dynamic workloads in HPC clusters." Future Generation Computer Systems, Jan. 2026. https://doi.org/10.1016/j.future.2025.107949
D. Huber et al., "Dynamic Resource Management in HPC Systems Using Dynamic Processes with PSets." 2025 IEEE 32nd International Conference on High Performance Computing, Data, and Analytics (HiPC), pp. 279--289, Dec. 2025. https://doi.org/10.1109/HiPC66333.2025.00036
D. Huber et al., "Bridging the Gap Between Genericity and Programmability of Dynamic Resources in HPC." ISC High Performance 2025, Jun. 2025. https://ieeexplore.ieee.org/document/11018304
S. Iserte et al., "Towards the Democratization and Standardization of Dynamic Resources with MPI Spawning." Main Track Best Paper Award PPAM 2024, Sep. 2024. https://doi.org/10.1007/978-3-031-85697-6_19

P. Sandås et al., "Malleable Molecular Dynamics Simulations with GROMACS and DMR." PPAM 2026 (in-press), Sep. 2026.
S. Iserte et al., "Malleable Computational Fluid Dynamics Simulations." Parallel CFD 2025 (in-press), Nov. 2025.
S. Iserte and K. Rojek, "A Study of the Effect of Process Malleability in the Energy Efficiency on GPU-based Clusters." Journal of Supercomputing, Oct. 2020. https://doi.org/10.1007/s11227-019-03034-x
S. Iserte et al., "Dynamic Reconfiguration of Non-iterative Scientific Applications: A Case Study with HPG-aligner." International Journal of High Performance Computing Application(33), pp. 1--10, Aug. 2018. ISSN: 1094-3420. https://doi.org/10.1177/1094342018802347

M. Cipollini et al., "Three ways to share a QPU: Scheduling strategies for hybrid Quantum-HPC applications." Future Generation Computer Systems, Jan. 2026. https://doi.org/https://doi.org/10.1016/j.future.2026.108699
S. Iserte et al., "MPI Malleability Validation under Replayed Real-World HPC Conditions." Future Generation Computer Systems, Dec. 2025. https://doi.org/10.1016/j.future.2025.108305

A. Tarraf et al., "Malleability in Modern HPC Systems: Current Experiences, Challenges, and Future Opportunities." IEEE TPDS, Jun. 2024. https://doi.org/10.1109/TPDS.2024.3406764
J. Aliaga et al., "A Survey on Malleability Solutions for High-Performance Distributed Computing." Applied Science, May 2022. https://doi.org/10.3390/app12105231

S. Iserte et al., "DMRlib: Easy-coding and Efficient Resource Management for Job Malleability." IEEE Transactions on Computers, Sep. 2020. https://doi.org/10.1109/TC.2020.3022933
S. Iserte et al., "DMR API: Improving Cluster Productivity by Turning Applications into Malleable." Parallel Computing, Jul. 2018. https://doi.org/10.1016/j.parco.2018.07.006
S. Iserte, "High-throughput Computation through Efficient Resource Management" UJI 2028. https://doi.org/http://dx.doi.org/10.6035/14101.2018.176272

M. De Rosso, "Empowering the DMR Malleability framework for MPI with the ULFM extension", POLIMI 2025. https://www.politesi.polimi.it/handle/10589/243438
F. J. Rodríguez-Olmeda, "HPC Paramal Malleability Traceability", UOC 2024. https://openaccess.uoc.edu/handle/10609/151191